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Suggested Topics within your search.
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101
A Review of Task Multi-criteria Prioritization Methods
Published 2024-04-01“…Additionally, it discusses in detail the basic principles, implementation steps, latest research findings, and pros and cons of representative methods within each category. Finally, this paper summarizes current research hotspots, including the analytic hierarchy process, fuzzy theory, and AI-assisted ranking technologies, while suggesting future research pathways covering AI-assisted big data ranking optimization, ranking stability enhancement, and intelligent preference identification.…”
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102
Analysis of Numerical Instability Factors and Geometric Reconstruction in 3D SIMP-Based Topology Optimization Towards Enhanced Manufacturability
Published 2025-05-01“…The suggested penalty factor ranges of 3–4 for hexahedral meshes and 2.5–3.5 for tetrahedral meshes. The optimal geometric reconstruction model achieves weight reductions of 23.46% and 22.22% compared to the original model while satisfying static loading requirements. …”
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103
SELECTING THE OPTIMAL SCENARIO FOR THE SIMULTANEOUS APPLICATION OF DIAMOND WIRE CUTTING AND CHAINSAW MACHINES IN DIMENSIONAL STONE MINES USING SECA MULTI-CRITERIA DECISION-MAKING M...
Published 2025-01-01“…In order to find the best scenario to achieve the optimal technical and economic conditions, the SECA decision-making method was used due to the presence of several influential criteria. …”
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Comparative evaluation of anesthesia methods for reconstructive carotid surgery
Published 2020-11-01“…The objective: to assess the impact of total intravenous and combined anesthesia (consisting of regional block and inhalation anesthesia with sevoflurane) on higher mental functions, frequency and nature of postoperative complications in carotid endarterectomy.Subjects and methods. A total of 190 patients with ipsilateral carotid stenosis exceeding 70%, or with the unstable atheromatous plaque were examined. …”
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107
Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism
Published 2025-05-01“…Precise detection of potato diseases is critical for food security, yet traditional image segmentation methods struggle with challenges including uneven illumination, background noise, and the gradual color transitions of lesions under complex field conditions. …”
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108
Optimization and Validation of a QuEChERS-Based Method Combined with Gas Chromatography–Tandem Mass Spectrometry for Analyzing Pesticide Residues in Edible Insect Samples
Published 2025-05-01“…The method was optimized by evaluating various extraction parameters and showed strong linearity for all 47 target pesticides, with correlation coefficients (R<sup>2</sup>) ranging from 0.9940 to 0.9999. …”
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109
Complexity synchronization analysis of neurophysiological data: Theory and methods
Published 2025-05-01“…IntroductionWe present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and behavioral systems to infer the optimal empirical transfer of information among them. …”
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110
Improved Block Element Method for Simulating Rock Failure
Published 2025-08-01“…As the innovation of this work, the iterative algorithm is combined with polygonal geometric features so that the area–perimeter fractal dimension can be introduced to optimize random Voronoi grids. The iterative control index can effectively improve the geometric characteristics of the grid while maintaining the necessary randomness. …”
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111
Identification of Natural Sloshing Frequency in a Rectangular Tank Under Surge Excitation Using Coupled Eulerian–Lagrangian Method and Impulse Excitation Method
Published 2025-05-01“…This study integrates the coupled Eulerian–Lagrangian method with the impulse excitation technique to predict natural sloshing frequencies in a rectangular tank with vertical baffles. …”
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113
Optimization of Geometrical Parameters of Coandă-Effect-Based Polymetallic Nodule Collection Device
Published 2025-08-01“…The collection of seabed ore particles is a core technology of exploiting deep sea mineral resources, with wall-attached jet collection technology based on Coandă-effect being considered as a nodule collection method with engineering application potential. Based on the experimentally verified CFD-DEM numerical simulation, the optimization of geometric parameters of the collection device is conducted to improve pick-up efficiency. …”
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114
Sidelobe Level Suppression in Linear and Planar Phased Arrays Using Grey Wolf Optimization With Local Search Refinements
Published 2025-01-01“…The proposed method combines the global search capability of grey wolf optimizer (GWO) with the Nelder-Mead local refinement to address the PSLL suppression challenge. …”
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115
Motion Planning Methods for Automated Parking: A Comprehensive Review
Published 2024-02-01“…This paper offers a thorough review of the motion planning methods applied within the automated parking domain, categorizing them into geometric methods, sampling methods, search methods, numerical optimization methods, and machine learning methods. …”
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116
Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods
Published 2025-02-01“…The framework systematically reduced observation periods and increased censoring rates while measuring performance through multiple metrics following Bayesian hyperparameter optimization. (3) Results: Model performance showed greater sensitivity to increased censoring rates than to reduced observation periods. …”
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117
Research into Robust Federated Learning Methods Driven by Heterogeneity Awareness
Published 2025-07-01“…The results demonstrate that the proposed method consistently outperforms baseline approaches such as FedAvg, FedProx, FedSAM, and FedMOON. …”
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118
An improved lightweight method based on EfficientNet for birdsong recognition
Published 2025-07-01“…To improve the convenience of birdsong recognition, this study proposes a more lightweight model based on the original EfficientNet-B0 architecture. The proposed method introduces the ECA attention mechanism to reduce the parameter complexity while improving feature expression. …”
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119
multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city)
Published 2025-03-01“…<p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">In this research, using the double-objective mixed integer linear programming method, an optimal supply chain network for the collection and recycling of urban waste has been presented in terms of source separation and the uncertainty of per capita waste generation by citizens. …”
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